Standardize English prose using Strunk and White and Zinsser style rules.
npx skills add https://github.com/leifericf/agentic-sdk --skill write-prose
Please help me install this Agent Skill. Skill: write-prose Source: https://github.com/leifericf/agentic-sdk/tree/main/skills/write-prose Command: npx skills add https://github.com/leifericf/agentic-sdk --skill write-prose
This Skill streamlines the creation of professional English prose by ensuring clarity, brevity, and adherence to style conventions, eliminating common issues such as overuse of words, unneeded embellishments, and AI-generated jargon.
Before writing prose in your project, refer to the Skill 'write-prose' to maintain style consistency and adherence to the project's standards.
High-intent search queries and answers about installing and using this skill.
Standardize technical writing style by applying eight fundamental rules derived from Strunk and White, and Zinsser, ensuring your project documentation remains concise, humanized, and free of AI-generated jargon.
Writing clear commit messages and code comments requires enforcing brevity and removing unneeded embellishments, which this prose optimization approach achieves by strictly adhering to established style conventions.
Remove AI-generated jargon from technical design docs by applying a standardization process that bans AI tells and enforces humanized language based on classic style guides like Elements of Style.
Yes, you can use this prose standardization for Architecture Decision Records because it streamlines the creation of professional English prose across all project artifacts, ensuring clarity and style consistency.
Technical documentation often contains overproduced text due to unneeded embellishments and overuse of words, which this prose standardization process reduces by applying strict style conventions from On Writing Well.
No specific dependencies are required to enforce prose style conventions; the standardization operates independently to apply its eight fundamental rules directly to your project's text outputs.
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